Audrey Gabelle

This paper introduces a Bayesian modeling approach to capture population protein dynamics using cohort data, showing its ability to handle inter-individual variability.

This study develops a 3-compartment model to simultaneously analyze protein dynamics in blood plasma and cerebrospinal fluid, including a hidden CNS compartment, and applies it to 69 proteins from a single individual.

The paper introduces a proteomics framework to map protein turnover in human cerebrospinal fluid, identifying turnover rates for nearly 200 proteins and revealing relationships between turnover and protein origin.

The paper shows that hyperphosphorylation of tau at T217 in cerebrospinal fluid is specifically linked to amyloid-β pathology in Alzheimer's disease.